ML Engineer

100% remote

B2B: 190-200 zł/h netto + VAT

Role description:

As an ML Engineer, you will be responsible for deploying, managing, and optimizing AI/ML models in production environments. You will work closely with data scientists, software engineers, and IT teams to ensure the seamless integration and operation of AI/ML solutions. Your role will be crucial in operationalizing AI models, ensuring they are scalable, reliable, and deliver value to the business.

Responsibilities:

• Design, implement, and maintain end-to-end MLOps pipelines for deploying machine learning models into production.

• Collaborate with data scientists to understand model requirements and ensure smooth deployment and integration.

• Develop and manage infrastructure for model training, validation, deployment, monitoring, and retraining.

• Implement CI/CD pipelines to streamline the deployment and updates of AI/ML models.

• Ensure the scalability, reliability, and performance of deployed models through continuous monitoring and optimization.

• Utilize containerization and orchestration tools (e.g., Docker, Kubernetes) to manage model deployment environments.

• Work with cloud platforms (AWS, GCP, Azure) to deploy and manage AI/ML services.

• Implement security best practices for AI/ML models and data pipelines.

• Troubleshoot and resolve issues related to model deployment and operation.

• Stay updated with the latest MLOps tools, frameworks, and methodologies.

• Document processes, configurations, and procedures to ensure knowledge sharing and continuity.

Requirements:

• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field.

• Proven experience (4+ years) in deploying machine learning models in production environments.

• Strong understanding of machine learning, deep learning, NLP, and generative AI techniques.

• Proficiency with MLOps tools and frameworks such as MLflow, Kubeflow, TensorFlow Extended (TFX), or similar.

• Experience with CI/CD tools such as Jenkins, GitLab CI, or CircleCI.

• Proficiency in programming languages such as Python and familiarity with ML/DL frameworks like TensorFlow, PyTorch, and scikit-learn.

• Experience with cloud platforms (AWS, GCP, Azure) and their AI/ML services.

•Knowledge of containerization and orchestration tools (Docker, Kubernetes).

• Strong understanding of version control systems (e.g., Git) and collaborative development workflows.

• Excellent problem-solving skills and the ability to design robust, scalable MLOps solutions.

• Strong communication skills, with the ability to collaborate effectively with cross-functional teams.

What we offer:

• 100% remote

• Multisport card

• Private healthcare

• Life insurance